Designing Autonomous AI: A Guide for Machine Teaching

Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world.

Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI.

This book examines:

• Differences between and limitations of automated, autonomous, and human decision-making
• Unique advantages of autonomous AI for real-time decision-making, with use cases
• How to design an autonomous AI from modular components and document your designs

早期基於規則的人工智慧展示了引人入勝的決策能力，但缺乏感知且無法學習。如今的人工智慧憑藉機器學習感知和深度強化學習能力，可以在特定任務中進行超人類的決策。本書將向您展示如何將早期人工智慧的實用性與深度學習能力和工業控制技術相結合，以在現實世界中做出堅固的決策。

作者Kence Anderson通過具體的例子、最少的理論和經過驗證的架構框架，演示了如何教授自主人工智慧明確的技能和策略。您將學習何時以及如何使用和結合各種人工智慧架構設計模式，以及如何設計高級人工智慧，而無需操縱神經網絡或機器學習算法。本書的方法融合了學生、工藝操作員、數據科學家、機器學習算法專家以及擁有和管理工業過程的工程師，可以用於設計自主人工智慧。

本書探討了以下內容：
- 自動化、自主化和人類決策之間的差異和限制
- 自主人工智慧在實時決策中的獨特優勢，並提供使用案例
- 如何從模塊化組件設計自主人工智慧並記錄您的設計

Kence Anderson is Principal Program Manager, Machine Teaching Innovation for Autonomous Systems. Kence has pioneered uses for Autonomous AI in industry and designed over 100 autonomous decision-making AI systems for large enterprises. He now teaches Autonomous AI design and consults enterprises how to build their autonomous systems organizations and practices.

Kence Anderson 是自主系統機器教學創新的主要程式經理。Kence 在工業界開創了自主人工智慧的應用，並為大型企業設計了超過100個自主決策人工智慧系統。他現在教授自主人工智慧設計，並協助企業建立他們的自主系統組織和實踐。